A method includes receiving, by a mobile device, a notification, executing, in response to receiving the notification, a data collection application over a time interval, and requesting, by the data collection application, sensor measurements from an operating system of the mobile device. The sensor measurements are collected prior to receiving the notification and before execution of the data collection application. The method also includes receiving, by the data collection application and from the operating system, a set of sensor measurements and transmitting, by the data collection application, the sensor measurements to a server during the time interval. The data collection application terminates upon expiration of the time interval.
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2. The method of claim 1, wherein the data collection application terminates upon expiration of the time interval.
3. The method of claim 1, wherein identifying the one or more events comprises detecting the one or more events based on the set of sensor measurements.
5. The method of claim 1, wherein the notification is received, by the mobile device, from a server at dynamic intervals based on previously transmitted sensor measurements.
6. The method of claim 1, further comprising generating the notification by a local process of the mobile device based on an increase in a likelihood of motion of the mobile device.
9. The method of claim 1, wherein the set of sensor measurements includes sensor measurements collected between a first time when the notification was received and a second time when a previous notification was received.
10. The method of claim 1, wherein a size of the time interval is based on previously transmitted sensor measurements.
A system and method for dynamically adjusting time intervals in sensor data transmission to optimize energy efficiency and data accuracy. The invention addresses the challenge of balancing power consumption and data quality in sensor networks, where fixed transmission intervals may either waste energy by transmitting too frequently or miss critical data by transmitting too infrequently. The method determines the size of the time interval for sensor data transmission based on previously transmitted sensor measurements. By analyzing historical sensor data, the system adapts the transmission frequency to match the variability and importance of the data. For example, if recent measurements show rapid changes, the interval may shorten to capture more data points, while stable readings may extend the interval to conserve power. This adaptive approach ensures efficient energy use while maintaining data relevance. The method may also incorporate additional factors such as sensor type, environmental conditions, or network constraints to further refine the interval size. The invention is particularly useful in applications like environmental monitoring, industrial automation, and healthcare, where sensor data must be both timely and energy-efficient.
11. The method of claim 1, further comprising instructing the operating system of the mobile device to store additional sensor measurements after receiving the set of sensor measurements.
A method for mobile device sensor data management addresses the challenge of efficiently collecting and processing sensor measurements from mobile devices. The method involves receiving a set of sensor measurements from one or more sensors on a mobile device, such as accelerometers, gyroscopes, or GPS modules. After obtaining these measurements, the method instructs the operating system of the mobile device to store additional sensor measurements. This ensures continuous or periodic data collection, allowing for comprehensive monitoring of device conditions or user activities. The stored sensor data can be used for applications like activity tracking, environmental monitoring, or device diagnostics. By leveraging the operating system's storage capabilities, the method ensures reliable data retention and accessibility for further analysis or processing. The approach optimizes sensor data handling by integrating with the device's native storage mechanisms, reducing the risk of data loss and improving the efficiency of sensor-based applications.
12. The method of claim 1, wherein the one or more events includes at least one of: a hard braking event, a vehicle collision, a missed drive, an indication of distracted driving, an indication of mobile phone use, an indication of speeding, or an indication of aggressive driving.
This invention relates to vehicle monitoring systems that detect and analyze driver behavior events to improve safety and compliance. The system identifies specific driving events that may indicate risky or non-compliant behavior, such as hard braking, collisions, missed drives, distracted driving, mobile phone use, speeding, or aggressive driving. These events are detected using vehicle sensors, onboard diagnostics, or external data sources. The system processes this data to determine whether an event has occurred and may trigger alerts, log incidents, or transmit data to a remote server for further analysis. The invention aims to enhance fleet management, driver training, and road safety by providing real-time feedback and historical data on driving performance. The system can be integrated into existing vehicle telematics platforms or standalone monitoring devices. By identifying and addressing these high-risk driving behaviors, the invention helps reduce accidents, improve compliance with traffic regulations, and optimize fleet operations. The solution is particularly useful for commercial fleets, rideshare services, and corporate vehicle programs where monitoring driver behavior is critical.
13. The method of claim 1, wherein the notification is received by the mobile device from a remote cloud server or from an internal process of the mobile device.
15. The method of claim 14, further comprising transmitting, by the data collection application, at least a portion of the first set of sensor measurements to a server.
A system and method for collecting and transmitting sensor data from a mobile device to a server. The invention addresses the need for efficient and reliable data collection from various sensors in a mobile device, such as accelerometers, gyroscopes, or environmental sensors, to enable applications like health monitoring, activity tracking, or environmental analysis. The method involves a data collection application running on the mobile device that continuously or periodically gathers sensor measurements, processes them to extract relevant information, and stores them locally. The application may filter or preprocess the data to reduce noise or extract specific features before transmission. The method further includes transmitting at least a portion of the collected sensor measurements to a remote server for further analysis, storage, or integration with other systems. The transmission may occur over a network connection, such as Wi-Fi or cellular data, and may be triggered by predefined conditions, such as reaching a certain data threshold or a scheduled time interval. The server may then process the received data to generate insights, updates, or alerts based on the sensor measurements. This system ensures that sensor data is efficiently collected, processed, and transmitted for use in various applications.
17. The method of claim 14, further comprising detecting one or more events based on at least a portion of the first set of sensor measurements, wherein the one or more events occurred during collection of the first set of sensor measurements.
18. The method of claim 14, wherein the motion sensor is a virtual sensor configured to generate the indication based on measurements collected from an accelerometer.
20. The method of claim 13, wherein the data collection application is executed on the mobile device.
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October 19, 2021
November 8, 2022
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